9.4 KiB
1. Implement a Centralized Feed Management System
Based on both Olas and NDK's approaches:
- Create a
FeedEntry
type with clear support for different event kinds and content types - Implement state management using references following NDK's pattern of using
Map
andSet
references for better performance - Add proper event deduplication using NDK's seen events tracking mechanism
2. Improve Event Subscription and Filtering
From NDK's implementation:
-
Utilize NDK's subscription options more effectively:
const subscription = ndk.subscribe(filters, { closeOnEose: true, cacheUsage: NDKSubscriptionCacheUsage.CACHE_FIRST, groupable: true, skipVerification: false });
-
Implement caching strategies using NDK's caching mechanisms:
// Try cache first, then relays const cacheStrategy = NDKSubscriptionCacheUsage.CACHE_FIRST;
-
Use subscription grouping to reduce relay connections for similar queries:
// Group similar subscriptions with a delay const groupableDelay = 100; // ms
3. Enhance Contact List Fetching
NDK offers more sophisticated contact list handling:
-
Use NDK's contact list event fetching with explicit validation:
// Direct method to get follows for a user async followSet(opts?: NDKSubscriptionOptions): Promise<Set<Hexpubkey>> { const follows = await this.follows(opts); return new Set(Array.from(follows).map((f) => f.pubkey)); }
-
Implement loading states and retry logic using NDK's pattern:
// Track loading state with cleanup on unmount let isMounted = true; // ... return () => { isMounted = false; }
4. Enhanced Subscription Management
From NDK's subscription implementation:
-
Proper lifecycle management for subscriptions:
// Keep track of subscriptions for cleanup const subscriptionRef = useRef<NDKSubscription | null>(null); // Clean up subscription on component unmount useEffect(() => { return () => { if (subscriptionRef.current) { subscriptionRef.current.stop(); } }; }, []);
-
Handle relay connection state more effectively:
// Monitor relay connections ndk.pool.on('relay:connect', (relay: NDKRelay) => { console.log(`Relay connected: ${relay.url}`); });
5. Optimize Event Processing Pipeline
Based on NDK's efficient event handling:
-
Implement event processing with proper validation:
// Only process events that pass validation if (!this.skipValidation) { if (!ndkEvent.isValid) { return; } }
-
Use NDK's event queuing and batch processing:
// Batch event processing for better performance const updateEntries = (reason: string) => { const newSlice = entriesFromIds(newEntriesRef.current); // ... process in batch rather than individually }
-
Implement EOSE (End of Stored Events) handling more effectively:
// Handle EOSE with improved timing subscription.on('eose', () => { if (isMounted) { setLoading(false); setEose(true); // Process any accumulated events after EOSE updateEntries('eose'); } });
6. Implement Progressive Loading
From NDK's subscription approach:
-
Use cache-first loading with fallback to relays:
// Try cache first for immediate feedback if (ndk.cacheAdapter) { const cachedEvents = await ndk.cacheAdapter.query(subscription); if (cachedEvents.length > 0) { // Process cached events immediately processCachedEvents(cachedEvents); } }
-
Implement pagination with proper thresholds:
// Only fetch more when needed if (hasMore && !loading && !refreshing) { loadMore(oldestTimestamp - 1); }
Key Architectural Improvements
-
More Robust Feed State Management:
- Use
useRef
for maintaining state references that don't trigger re-renders - Implement batch updates for feed state changes
- Use proper cleanup and event deduplication
- Use
-
Enhanced Subscription Management:
- Use
NDKSubscription
with appropriate options - Implement proper grouping and caching strategies
- Handle subscription lifecycle with proper cleanup
- Use
-
Contact List Reliability:
- Use multiple approaches to fetch and validate contacts
- Implement caching and retry logic for reliable contact detection
- Handle edge cases (like self-follows) appropriately
-
Event Processing Optimization:
- Implement more efficient event filtering and processing
- Use batch processing for events after EOSE
- Add proper validation and verification
-
Performance Enhancements:
- Use NDK's optimization patterns like subscription grouping
- Implement proper memory management for large event sets
- Use efficient data structures (Map/Set) for event tracking
Implementation Strategy
- Start with rewriting the subscription layer using NDK's patterns
- Then enhance the contact list fetching with multiple reliable approaches
- Next, implement improved feed state management with efficient data structures
- Finally, optimize the UI components for better rendering performance
This updated plan combines the best practices from both Olas's specialized feed implementation and NDK's efficient subscription management, providing a solid foundation for building a fast, reliable, and focused social feed for workout-related content in the POWR app.
Let me review your current subscription and feed code, and identify which files we'll need to delete, update, or create to implement the improved architecture.
Current Code Structure
From what I can see in the shared code, you have:
- useFeedEvents.ts - Core hook for handling feed events
- useFeedHooks.ts - Specialized feed hooks (Following, POWR, Global)
- useFeedMonitor.ts - For monitoring feed state and auto-refresh
- powr.tsx - The POWR tab screen component
- following.tsx - The Following tab screen component
- global.tsx - The Global tab screen component
- EnhancedSocialPost.tsx - Component for rendering feed posts
- socialFeedService.ts - Service for interacting with Nostr
Plan for Implementation
Files to Update (Modify):
-
useFeedEvents.ts - Update with NDK's subscription patterns and better event processing
- Improve subscription lifecycle management
- Implement better event deduplication
- Add batch processing and performance optimizations
-
useFeedHooks.ts - Enhance contact list fetching and filter creation
- Implement multiple approaches for contact list fetching
- Improve filter creation for better relevance
- Remove hardcoded fallbacks in favor of more reliable mechanisms
-
useFeedMonitor.ts - Minor updates for integration with new feed structure
- Enhance refresh mechanisms
- Improve state tracking
-
following.tsx - Update to use the new feed architecture
- Remove debug code once implementation is stable
- Improve UI for feed state feedback
-
powr.tsx - Update to fix infinite loop issues
- Improve component lifecycle management
- Enhance performance
-
global.tsx - Update for consistency with other feed implementations
- Ensure consistent behavior across all feed tabs
-
socialFeedService.ts - Enhance with better relay interaction
- Improve subscription creation
- Add better event filtering
Files to Create:
-
useFeedState.ts - New hook for centralized feed state management
// Manage feed entries state with efficient updates export function useFeedState() { // Implementation here }
-
useFeedSubscription.ts - New hook for subscription management
// Handle NDK subscriptions with proper lifecycle export function useFeedSubscription(filters: NDKFilter[]) { // Implementation here }
-
types/feed.ts - Enhanced type definitions for feed entries
// More comprehensive feed entry types export interface FeedEntry { // Enhanced type definition }
-
utils/feedUtils.ts - Utility functions for feed operations
// Feed-related utility functions export function deduplicateEvents() { // Implementation }
-
components/feed/FeedList.tsx - Shared component for feed rendering
// Reusable feed list component with virtualization export function FeedList({ entries, onItemPress }) { // Implementation }
Files to Delete:
None of the files need to be deleted entirely. Instead, we'll refactor and enhance the existing codebase to implement the new architecture.
Implementation Order
- First, create the new type definitions in types/feed.ts
- Then, implement the new hooks in useFeedSubscription.ts and useFeedState.ts
- Update useFeedEvents.ts and useFeedHooks.ts with improved implementations
- Create utility functions in utils/feedUtils.ts
- Implement the shared component in components/feed/FeedList.tsx
- Finally, update the screen components to use the new architecture
This approach allows us to gradually refactor the codebase while maintaining functionality throughout the process. Each step builds on the previous one, ultimately resulting in a more robust and efficient feed implementation.